Project

Teaching and Writing Support

Writing consultation, large-lecture teaching support, and student-centered pedagogy grounded in real learning bottlenecks.

Reese teaching at the front of a classroom, presenting to seated students.
Teaching in the classroom — student-centered instruction and writing support.
  • Role

    Graduate writing consultant, teaching assistant, learning diagnostician, and instructional designer

  • Areas

    Teaching & Learning / Public Scholarship

  • Skills

    Writing pedagogy, Tutoring, AI and learning, Student support, Instructional design

Overview

Students rarely arrive with a generic writing problem. They arrive with mismatched assumptions, unclear assignments, uneven confidence, and real constraints on time and attention.

This body of work treats teaching support as situated problem-solving rather than the delivery of canned study skills.

What to notice

The work centers on diagnosis: prompts, arguments, structure, evidence, and the moment a writer loses momentum.

At NC State, that meant graduate writing consultations and repeated teaching support in an 80-student U.S. Foreign Policy course.

Annotated teaching support board showing diagnosis, scaffolding, and revision pathways.
Visual / artifact Editorial diagram showing the consultation logic and scaffolding structure this page is meant to make visible.

Why it matters

The most important outcome is a repeatable practice of helping people move from uncertainty to agency in classrooms, writing centers, and any setting where explanation has to meet a real person at the point of need.

How this works as a workflow

Writing center triage is a genuine workflow design challenge: quickly identify the real bottleneck in a draft, generate targeted support questions, and build reusable materials from recurring problems. AI can help classify the issue type — argument structure, evidence integration, clarity, assignment interpretation — and generate tutor-prep questions tailored to that classification.

The human role is the whole point: the tutor reads the actual writer in front of them, conducts the conversation, makes the judgment about what kind of support is needed, and protects the student's ownership of the paper. The AI layer makes the tutor better prepared, not replaceable. What I would not automate: grading, final written feedback, or the tutor-student relationship.